Selection of Economics-Energy-Environment Scheduling Strategy for a Community Virtual Power Plant Considering Decision-makers’ Risk Attitudes Based on Improved Information Gap Decision Theory

doi:10.12204/j.issn.1000-7229.2024.03.004

Abstract

Abstract:

To address the impact of decision makers’ risk attitudes (DMRAs) and uncertainties on dispatch strategies in community-integrated energy systems, a multi-objective dispatch model of a community virtual power plant (CVPP) is proposed. First, a novel CVPP model that considers DMRA and a multi-objective economics-energy-environment satisfaction model was developed. The information gap decision theory (IGDT) model is then improved considering uncertainties of renewable energy, loads, and DMRA. Third, considering DMRA, an improved VIKOR method was proposed under self-confident double-hierarchy linguistic preference relations. Finally, the effectiveness of the proposed model was validated regarding a multi-scenario example of a residential area. The results indicate the following: 1) The novel CVPP provides realistic scheduling strategies based on the DMRA. 2) After implementing demand response, the resident cost and net carbon emissions are reduced by 9% and 91%, respectively. In addition, the energy supplier profit and renewable energy utilization rate are increased. The constructed IGDT model also improves multiple objectives. 3) The improved uncertainty and deviation factors of the IGDT model allow diverse scheduling strategies. Simultaneously, the improved VIKOR method provides a new way for decision makers to select strategies. This model serves as a guide for selecting scheduling strategies and encourages the use of renewable energy sources.

Key words: community virtual power plant(CVPP), decision-makers’ risk attitudes(DMRA), information gap decision theory(IGDT), multiple objectives dispatch, demand response, improved VIKOR method

CLC Number:

TM73

GAO Jianwei, HUANG Ningbo, GAO Fangjie, WU Haoyu, MENG Qichen, LIU Jiangtao. Selection of Economics-Energy-Environment Scheduling Strategy for a Community Virtual Power Plant Considering Decision-makers’ Risk Attitudes Based on Improved Information Gap Decision Theory[J]. ELECTRIC POWER CONSTRUCTION, 2024, 45(3): 39-57.

Figures/Tables 17

Fig.1 The framework of CVPP

Table 1 Price data

Table 2 Optimal value of single target

Fig.2 Equipment output after deterministic multi-objective optimal scheduling

Fig.3 The use of household appliances after deterministic multi-objective optimal scheduling

Fig.4 Pareto Frontier for conservative decision makers after multiple objectives optimization with considering uncertain factors

Table 3 βco, αco values and multi-target values

Fig.5 Relationship between β and α under optimal strategy after multiple objectives optimization with considering uncertain factors

Fig.6 Equipment output and household appliances operation after multiple objectives optimization with considering uncertain factors-conservative decision-makers

Fig.7 Equipment output and household appliances operation after multiple objectives optimization with considering uncertain factors-risk decision-makers

Fig.A1 Predicted data of renewable energy

Fig.A2 Residential load data

Table A1 Different weight results when the parameter βco=0.02

Table A2 Scheduling strategies for conservative decision-makers when the parameter βco=0.02

Table A3 Optimal strategy under different bias factor values βco

Table A4 Optimal strategy under different bias factor value βa

Table A5 Scheduling strategies for risk decision-makers when the parameter βa=0.02

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