Demand Response Strategy Based on the Multi-Agent System and Multiple-Load Participation

Abstract

In order to improve the utilization of user-side power resources in the distribution network and promote energy conservation, this paper designs a distributed system suitable for power demand response (DR), considering multi-agent system (MAS) technology and consistency algorithms. Due to the frequent changes in the power system structure caused by changes in the load of a large number of users, this paper proposes using cluster partitioning indicators as communication weights between agents, enabling agents to utilize the distribution network for collaborative optimization. In order to achieve the integration of multiple load-side power resources and improve the refinement level of demand-side management (DSM), two types of agents with load aggregator (LA) functions are provided, which adopt the demand response strategies of Time-of-Use (TOU) or Direct Load Control (DLC) and model the uncertainty of individual device states using Monte Carlo method, so that the two typical flexible loads can achieve the target load-reduction requirements under the MAS framework. The research results demonstrate that this method achieves complementary advantages of the two types of loads participating in DR on a time scale, reducing the costs of power companies and saving customers’ electricity bills while peak shaving.

Flexible Regulation and Synergy Analysis of Multiple Loads of Buildings in a Hybrid Renewable Integrated Energy System

“…The comprehensive heat transfer coefficient is defined as (7) As a result, a comprehensive time coefficient that evaluates the level of heat storage time of building space can be developed as…”

“…Increasing the energy efficiency and consumption ratio of renewable energy in building energy systems is the key path to building carbon reduction [6]. An integrated energy system employs advanced technology and management modes to meet various energy demands of buildings in various forms of energy supply, including electricity, heat, and gas [7]. It breaks technical, market, and institutional barriers in traditional single energy systems, realizing complementary and operational coordination of multiple energy sources, effectively increasing energy efficiency [8].…”